# -*- coding: utf-8 -*-
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from datetime import timedelta
from jms.dm.route.dm_route_whole_direct_base_dt import jms_dm__dm_route_whole_direct_base_dt
from jms.dm.route.dm_route_whole_base_dt import dm__dm_route_whole_base_dt
from jms.time_sensor.time_after_04_45 import time_after_04_45
jms_dm__dm_cainiao_route_data_dt = SparkSqlOperator(
    task_id='jms_dm__dm_cainiao_route_data_dt',
    task_concurrency=1,
    pool_slots=2,
    master='yarn',
    execution_timeout = timedelta(minutes=80),
    email=['zhangqinglin@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_cainiao_route_data_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/route/cainiao_new_version/dm_cainiao_route_data_dt/execute.hql',
    driver_memory='4G',
    executor_cores=6,
    executor_memory='10G',
    num_executors=100,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={
        'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
        'spark.shuffle.service.enabled' : 'true',  # 动态资源 Shuffle 服务开启
        #'spark.dynamicAllocation.maxExecutors' : 100,  # 动态资源最大扩容 Executor 数
        'spark.dynamicAllocation.maxExecutors' : 120,  # 动态资源最大扩容 Executor 数
        'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
        'spark.sql.sources.partitionOverwriteMode' : 'dynamic',  # 允许删改已存在的分区
        'spark.executor.memoryOverhead' : '6G',  # 堆外内存
        'spark.sql.shuffle.partitions' : 1500,
        'spark.executor.extraJavaOptions': '-XX:+UseG1GC -XX:ParallelGCThreads=6'
    },
    hiveconf={
       'hive.exec.dynamic.partition' : 'true',  # 动态分区
       'hive.exec.dynamic.partition.mode' : 'nonstrict',
       'hive.exec.max.dynamic.partitions' : 400,  # 每天生成 20 个分区
       'hive.exec.max.dynamic.partitions.pernode': 400,  # 每天生成 20 个分区
    },
    yarn_queue='route',
)

jms_dm__dm_cainiao_route_data_dt << [jms_dm__dm_route_whole_direct_base_dt,dm__dm_route_whole_base_dt,time_after_04_45]